multiple comparison
1.3)CVP:Significantstatistics difference was found in multiple comparison(P<0.05),exceptS-CPR and 120IAC-CPR.
2.③ One-way ANOVA was used to compare the differences between the experimental groups and control group? LSD-t test was used for multiple comparison.
3.Results LSD multiple comparison showed that there were significant differences in decreasing serum total bilirubin among high and normal dosages Yujin groups and not given Yujin group(P=0.001,P=0.000).
4.(4)Elect TCM symptoms and physical signs having more groups with statistical significance in multiple comparison, namely TCM symptoms and physical signs having better discrimination, and make out discriminant function of TCM syndromes.
5.Multiple comparison (Bon, Duncan; LSD method) among the absolute values of four standard regression coefficients showd the following results, i.e.(1) there was no significant difference between the coefficient of T and Fd(?P?>0.05);
6.The results showed that disease incidence exists significant different. According to result of variance analysis and multiple comparison, they were grouped into three resistant levels:Disease resistance cultivars include 9115,99-5 ,Golden Phoenix 2,Resistant disease Queen, XueLiHong;
7.Variance analysis and multiple comparison indicate that differences in all characters of white elm half-sib families and clones are significan at 0.05 level or 0.01 level except for the ratio of fresh weight to dry weight among half-sib families.
8.4)CPP:Significant statistic difference was foundin multiple comparison(P<0.05),except group between 100IAC-CPR and120IAC-CPR. 100IAC-CPR and 120IAC-CPR were the best,80IAC-CPR wasbetter. Conclusion:1.100IAC-CPR can produce better hemodynamic effect than80IAC-CPR and 120IAC-CPR,which suggest that 100IAC-CPR method canresult in more successful rate of resuscitation.
9.Cross Completion Techniques for the Support of Multiple Objects--Comparison and Analysis of GCC and Zephyr Infrastructure
10.Then, comparisons are made by covariance analysis on each character individually by sexes and regions; and then a multiple characters comparison is made by canonical multivariate analysis.
